Judging Judge Fixed Effects
Brigham R. Frandsen, Lars J. Lefgren, Emily C. Leslie
We propose a test for the identifying assumptions invoked in designs based on random assignment to one of many "judges.'' We show that standard identifying assumptions imply that the conditional expectation of the outcome given judge assignment is a continuous function with bounded slope of the judge propensity to treat. The implication leads to a two-part test that generalizes the Sargan-Hansen overidentification test and assesses whether implied treatment effects across the range of judge propensities are possible given the domain of the outcome. We show the asymptotic validity of the testing procedure, demonstrate its finite-sample performance in simulations, and apply the test in an empirical setting examining the effects of pre-trial release on defendant outcomes in Miami. When the assumptions are not satisfied, we propose a weaker average monotonicity assumption under which IV still converges to a proper weighted average of treatment effects
Year of publication: |
February 2019
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Authors: | Frandsen, Brigham R. |
Other Persons: | Lefgren, Lars J. (contributor) ; Leslie, Emily C. (contributor) |
Institutions: | National Bureau of Economic Research (contributor) |
Publisher: |
2019: Cambridge, Mass : National Bureau of Economic Research |
Subject: | Schätzung | Estimation | IV-Schätzung | Instrumental variables | Strafjustiz | Criminal justice | Strafverfahren | Criminal procedure | Kriminalitätsökonomik | Economics of crime |
Saved in:
freely available
Extent: | 1 Online-Ressource illustrations (black and white) |
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Series: | NBER working paper series ; no. w25528 |
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | System requirements: Adobe [Acrobat] Reader required for PDF files Mode of access: World Wide Web Hardcopy version available to institutional subscribers |
Other identifiers: | 10.3386/w25528 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012479483